Helpdesk migration

Migrate from Autotask Professional Services Automation (PSA) to Salesforce Service Cloud

Field-level mapping, validation, and rollback between Autotask Professional Services Automation (PSA) and Salesforce Service Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Service Cloud.

Autotask Professional Services Automation (PSA) logo

Autotask Professional Services Automation (PSA)

Source

Salesforce Service Cloud

Destination

Salesforce Service Cloud logo

Compatibility

73%

8 of 11

objects map 1:1 between Autotask Professional Services Automation (PSA) and Salesforce Service Cloud.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Autotask PSA to Salesforce Service Cloud is a platform shift from an MSP-native all-in-one PSA to an enterprise service desk that may require supplemental PSA tooling for project and billing management. Autotask Tickets map to Salesforce Cases with a pre-migration Case Record Type configured to match the source queue structure. Company records map directly to Salesforce Account; Contact linkage is preserved by loading Account before Contact and resolving the parent AccountId at insert time. Time Entries require a custom mapping strategy since Salesforce has no native billing-time object — we map them to Task records with billing metadata fields or a custom Time Entry object, depending on the customer's reporting requirements. Autotask UDFs are customer-specific per-object and must be enumerated, typed, and created in Salesforce before data load begins. Service Calls, To-dos, and Workflow Rules have no export path in Autotask and are explicitly scoped out; we deliver a written workflow audit checklist for the customer's admin to rebuild in Salesforce Flow post-migration.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Autotask Professional Services Automation (PSA) logo

Autotask Professional Services Automation (PSA)

What's pushing teams away

  • Steep learning curve and complex UI require significant training investment before teams become productive.
  • Limited customization and flexibility — users report the platform lacks options to adapt workflows to specific business needs.
  • High implementation and migration costs, with industry estimates ranging from $2,000 to $15,000+ depending on data volume and complexity.
  • Workflow automation is basic (simple if-then rules) with no learning capability, driving users to dedicated RPA or AI automation tools.
  • Integration dependencies on the Datto/Kaseya ecosystem can complicate switching to non-Kaseya tools or PSAs.

Choosing

Salesforce Service Cloud logo

Salesforce Service Cloud

What's pulling them in

  • Deep Salesforce ecosystem integration with Sales Cloud, Marketing Cloud, and custom Apex apps creates a single pane of glass for enterprise customer data and cross-functional workflows.
  • Omnichannel case routing — email, chat, phone, social, and messaging — unified under one case object means agents do not lose context when customers switch channels mid-interaction.
  • AI for customer service (Einstein AI / Agentforce) offers automated case classification, suggested replies, and chatbot routing that reduces Tier-1 ticket volume without manual rule authoring.
  • Entitlement and milestone tracking enforces SLA compliance natively, automatically calculating breach windows and surfacing violations to supervisors in dashboards.
  • Salesforce's massive AppExchange ecosystem provides pre-built connectors, industry-specific managed packages, and third-party tools that extend Service Cloud beyond its out-of-box capabilities.

Object mapping

How Autotask Professional Services Automation (PSA) objects map to Salesforce Service Cloud

Each row shows how a Autotask Professional Services Automation (PSA) object lands in Salesforce Service Cloud, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Autotask Professional Services Automation (PSA)

Ticket

maps to

Salesforce Service Cloud

Case

1:1
Fully supported

Autotask Tickets map to Salesforce Cases. We pre-configure Case Record Types to mirror Autotask queue structures, and Case Status values correspond to Autotask Ticket status values. The Autotask Ticket ID is preserved in a custom field at_original_id__c for audit and cross-reference. Custom Ticket Fields (UDFs) are enumerated during the UDF audit phase, typed (text, number, date, checkbox, dropdown), and created as Salesforce custom fields before Case import begins. Attachment handling is phased separately due to Autotask's per-attachment API requirement and the 10,000/hour call ceiling.

Autotask Professional Services Automation (PSA)

Company

maps to

Salesforce Service Cloud

Account

1:1
Fully supported

Autotask Company records map to Salesforce Account. The Company name becomes Account Name; physical address maps to BillingAddress; the Company phone becomes Account Phone. Autotask Company UDFs migrate to Account custom fields. We load Accounts first in the dependency order because every Contact requires an AccountId lookup. The Autotask Company ID is preserved in at_original_id__c.

Autotask Professional Services Automation (PSA)

Contact

maps to

Salesforce Service Cloud

Contact

1:1
Fully supported

Autotask Contacts map to Salesforce Contacts with the parent AccountId resolved at migration time from the Company-to-Account mapping. FirstName, LastName, Email, Phone, and Title migrate directly. Contact-level UDFs require a matching Salesforce custom field on Contact. We preserve the Contact-to-Company linkage by ensuring Account load completes before Contact insert, avoiding orphaned Contact records.

Autotask Professional Services Automation (PSA)

Project

maps to

Salesforce Service Cloud

Custom Project object (or Opportunity)

1:many
Fully supported

Autotask Projects have no direct Salesforce Service Cloud equivalent. Service Cloud is a service desk platform, not a PSA. If the customer's migration scope includes project management, we create a custom Project__c object in Salesforce with fields for Project Name, Status, StartDate, EndDate, Budget, and Resource (lookup to User). Autotask Tasks within Projects map to Task records linked to Project__c via WhatId. For customers not migrating projects, we flag the gap in the scope document and recommend Certinia (FinancialForce PSA) as a Salesforce-native PSA add-on.

Autotask Professional Services Automation (PSA)

Contract

maps to

Salesforce Service Cloud

Contract or Custom Contract__c object

1:1
Fully supported

Autotask Contracts with labor rates, service terms, and billing rules map to Salesforce Contract if the destination org includes the Contract object (available from Professional). Contract start date, end date, billing terms, and annual value migrate as fields. Complex rule-based billing configurations (Autotask billing rules) cannot be replicated in Salesforce without custom development or a billing integration; we document the billing rule logic in the migration handoff for the customer's admin and ERP team to address.

Autotask Professional Services Automation (PSA)

Time Entry

maps to

Salesforce Service Cloud

Task (or custom Time_Entry__c)

lossy
Fully supported

Autotask Time Entries have no native Salesforce equivalent. We map them to Task records with the Type field set to 'Time Entry' and custom fields capturing hours (Task.DurationInMinutes mapped from Autotask hours), billing status, and the parent reference (WhatId pointing to the related Ticket/Case or Project__c). Alternatively, for customers with strict billing reporting requirements, we create a custom Time_Entry__c object with hours, date, owner, and parent lookup fields. The mapping strategy is chosen during scoping based on the customer's reporting and billing integration needs.

Autotask Professional Services Automation (PSA)

Resource

maps to

Salesforce Service Cloud

User

1:1
Fully supported

Autotask Resources (technicians and staff) map to Salesforce Users. We match by email address. Any Autotask Resource without a matching Salesforce User is held in a reconciliation queue; the customer's Salesforce admin provisions missing Users (active or inactive based on current employment status) before record migration resumes. Role, department, and license status from Autotask Resource are preserved in custom User fields.

Autotask Professional Services Automation (PSA)

UDF (all objects)

maps to

Salesforce Service Cloud

Custom Field

lossy
Fully supported

Autotask UDFs exist per-customer per-object and are not discoverable via a bulk export. Before migration, we run a UDF audit enumerating every custom field on Tickets, Companies, Contacts, Projects, Contracts, and Time Entries. We capture the field label, API name, data type (text, number, date, checkbox, dropdown), and any picklist values. Each UDF is created as a matching Salesforce custom field (with __c suffix) before data load begins. Any UDF without a clear Salesforce equivalent is flagged as a gap requiring manual post-migration data entry or custom development.

Autotask Professional Services Automation (PSA)

Document/Attachment

maps to

Salesforce Service Cloud

ContentDocument + ContentVersion

1:1
Fully supported

Autotask documents attached to Tickets, Projects, and Contracts are retrieved via sequential per-attachment API calls. Because of Autotask's 10,000 calls/hour ceiling, we phase attachment migration separately in an off-peak window after primary record migration completes. Each attachment is uploaded as a Salesforce ContentVersion and linked via ContentDocumentLink to the parent Case, Account, or custom Project__c record. We pre-count total attachment volume during scoping to estimate the attachment migration window.

Autotask Professional Services Automation (PSA)

Service Call

maps to

Salesforce Service Cloud

Work Order or Service Appointment

1:1
Fully supported

Autotask Service Calls (field service scheduling and dispatch) have no documented export path in the REST API. We do not migrate Service Call records. If the destination Salesforce org includes Field Service Lightning, we recommend mapping Service Calls to Work Orders or Service Appointments and rebuilding the dispatch data manually. This is scoped explicitly out of the migration with a gap note in the handoff document.

Autotask Professional Services Automation (PSA)

To-do

maps to

Salesforce Service Cloud

Task

1:1
Fully supported

Autotask To-dos are individual action items tied to users rather than tickets or projects and lack a bulk export endpoint. We do not migrate To-dos as records. If the customer requires To-do migration, we recommend converting them to Salesforce Task records manually post-migration or using a third-party migration tool. This gap is documented in the scope.

Gotchas + challenges

What specifically takes care here

Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.

Autotask Professional Services Automation (PSA) logo

Autotask Professional Services Automation (PSA) gotchas

High

Per-object thread limits throttle migration throughput

High

10,000 calls per hour global API ceiling

Medium

UDF schema is customer-specific and must be mapped manually

Medium

Workflow rules, Service Calls, and To-dos have no export path

Medium

Attachment handling requires per-file API calls

Salesforce Service Cloud logo

Salesforce Service Cloud gotchas

High

Data Export 512MB file size cap breaks large org exports

High

API Daily Request Limits vary by license edition

High

No automatic data backup in base Salesforce

Medium

Picklist dependencies silently break records when unmapped

Medium

Workflow rules fire unexpectedly during data load

Pair-specific challenges

  • Autotask 10,000 calls/hour ceiling throttles large Ticket migrations

    Autotask enforces a hard 10,000 API calls per hour global limit plus per-object thread throttling (1-2 concurrent threads on core objects). Migrations exceeding 10,000 Tickets, 50,000 Time Entries, or a large attachment volume will hit this ceiling during normal business hours. We pace requests using exponential backoff, pipeline by object type to spread thread usage, and schedule primary record migration in off-peak windows. We also pre-scope total record count before scheduling and calculate the required migration window duration so that the customer knows how many evening or weekend migration sessions are needed before cutover.

  • Ticket UDFs require manual enumeration and pre-creation

    Autotask UDFs are customer-specific per-object with no automated discovery export. We must run a UDF audit enumerating every custom field on Tickets, Companies, Contacts, and other objects before migration begins. Any UDF without a matching Salesforce field blocks the data load for that object. We create Salesforce custom fields for every discovered UDF before the load phase starts, but the customer must validate the UDF audit output and confirm field naming conventions. Skipping this step results in silent data truncation on custom fields.

  • Projects and billing require non-standard mapping

    Salesforce Service Cloud does not include native project management or rule-based billing. Autotask Projects, Tasks, Contracts, and Time Entries do not map to standard Salesforce objects without supplemental configuration. We create a custom Project__c object and either map Time Entries to Task records or to a custom Time_Entry__c object depending on scoping. Complex Autotask billing rules (rate cards, service bundles, automatic labor allocation) have no Salesforce equivalent and require a billing integration (NetSuite, Intacct, or a Salesforce billing product) to replicate. We document the billing configuration in the handoff for the customer's finance and ERP team.

  • Service Calls and To-dos have no export path

    Autotask's REST API does not expose Service Calls or To-dos for export. Workflow Rules also have no export capability. We do not migrate these as records or code. We deliver a written workflow audit checklist documenting every Autotask Workflow Rule (trigger, conditions, actions) and a recommended Salesforce Flow equivalent. Service Calls and To-dos are flagged for manual rebuild or conversion to Work Orders and Tasks respectively in the destination org. This gap is explicitly acknowledged in the scope document before migration begins.

  • Attachment migration creates a secondary call-count burden

    Autotask attachments are stored in the document management module and require sequential per-attachment API retrieval. For customers with thousands of ticket attachments, this generates a high call count that competes with the 10,000/hour ceiling during the primary record migration phase. We phase attachment migration into a separate off-peak window after the primary load completes. We also pre-count total attachment volume during scoping to estimate whether a dedicated evening or weekend migration session is required for attachment-only data.

Migration approach

Six steps for a successful Autotask Professional Services Automation (PSA) to Salesforce Service Cloud data migration

  1. UDF audit and scoping

    We run a UDF audit across every Autotask object in scope (Tickets, Companies, Contacts, Projects, Contracts, Time Entries) to enumerate all custom fields, their data types, and picklist values. We pair this with a record count inventory (total Tickets, Companies, Contacts, Time Entries, Attachments) and use the counts to calculate the required migration window given the 10,000 calls/hour ceiling. We also assess whether Projects and billing data are in scope and recommend the custom object strategy (Project__c, Time_Entry__c) before the migration begins. The discovery output is a written scope document and migration timeline.

  2. Destination schema design and Salesforce configuration

    We design the Salesforce destination schema in a Sandbox org. This includes creating custom fields to match every Autotask UDF (typed to Salesforce field types), configuring Case Record Types to mirror Autotask queue structures, creating a custom Project__c object if project migration is in scope, and setting up Salesforce User records for every Autotask Resource matched by email. We also configure Salesforce field-level security, validation rules (and document any that need to be disabled during migration), and Page Layouts per Record Type. Schema is validated in Sandbox before production migration begins.

  3. Sandbox migration and reconciliation

    We run a full migration into a Salesforce Sandbox using production-scale data volume. The customer reconciles record counts (Cases in, Accounts in, Contacts in, Tasks in), spot-checks 25-50 random records against the Autotask source, and validates that UDF data arrived intact in Salesforce. Any field mapping corrections, missing custom fields, or Record Type configuration issues surface here. The customer signs off on the Sandbox result before production migration is scheduled.

  4. Owner reconciliation and User provisioning

    We extract every distinct Autotask Resource (technician, staff) referenced on Tickets, Time Entries, and Projects and match by email against the Salesforce destination org's User table. Resources without a matching Salesforce User go to a reconciliation queue. The customer's Salesforce admin provisions missing Users (active or inactive) before the production migration. Migration cannot proceed past this step because Case OwnerId and Task OwnerId references require a valid Salesforce User.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Accounts (from Autotask Companies), Contacts (with AccountId resolved), Cases (with UDF data populated), custom Project__c records, Contracts, Time Entries (as Task or Time_Entry__c), and Attachments (phased separately in an off-peak window). Each phase emits a row-count reconciliation report before the next phase begins. We use Salesforce Bulk API 2.0 for large batches and REST API with exponential backoff for smaller loads and lookups. Pacing is enforced against Autotask's 10,000 calls/hour ceiling throughout.

  6. Cutover, validation, and workflow handoff

    We freeze Autotask writes during cutover, run a final delta migration of any records modified during the migration window, then enable Salesforce as the system of record. We deliver the workflow audit checklist documenting every Autotask Workflow Rule with its trigger, conditions, actions, and a recommended Salesforce Flow equivalent. We deliver a Service Call and To-do gap note for manual rebuild. We support a one-week hypercare window for reconciliation issues raised by the service desk team. We do not rebuild Autotask Workflows as Salesforce Flow inside the migration scope; that is a separate engagement or an internal admin task.

Platform deep dives

Context on both ends of the pair

Autotask Professional Services Automation (PSA) logo

Autotask Professional Services Automation (PSA)

Source

Strengths

  • All-in-one MSP operations: ticketing, CRM, projects, time, contracts, and billing in a single cloud platform.
  • Rule-based billing captures billable hours automatically by associating time to contacts and devices.
  • Datto/Kaseya ecosystem integrations (BCDR, RMM, Network Manager) for MSPs already in the stack.
  • Reliability and stability — long-standing reputation among MSPs with consistent high ratings on G2 and Capterra.
  • Comprehensive REST API with documented resources covering the primary data model objects.

Weaknesses

  • Steep learning curve and complex UI — onboarding requires significant time and training investment.
  • Limited workflow automation compared to modern PSA platforms; simple if-then rules without AI or learning capabilities.
  • High implementation and migration costs ($2,000–$15,000+) for third-party assisted transitions.
  • Lack of flexibility — users report the platform does not adapt easily to non-standard MSP processes.
  • Thread-limited API (often 1–2 threads per object per integration) restricts migration throughput.
Salesforce Service Cloud logo

Salesforce Service Cloud

Destination

Strengths

  • Enterprise-grade security, compliance certifications, and audit logging available across all paid editions with Shield offering enhanced event monitoring.
  • Scalable multi-tenant cloud architecture supporting orgs from 5 users to 150,000+ seat enterprises without infrastructure management overhead.
  • Omnichannel contact center unifying email, live chat, phone, messaging, and social into a single Case timeline per customer interaction.
  • Rich workflow automation via Salesforce Flow, Process Builder, and Apex triggers enabling complex case escalation, routing, and field updates.
  • Native AI capabilities (Agentforce / Einstein) for case auto-routing, classification, suggested responses, and chatbot escalation without third-party add-ons.

Weaknesses

  • Per-seat pricing model with no contact limits creates unpredictable cost scaling for large organizations adding many agents over time.
  • No automatic data backup — organizations must purchase a third-party backup solution or build manual Data Loader exports to protect against data loss from human error, failed deployments, or integrations overwriting records.
  • Steep learning curve for non-technical users requiring dedicated admin resources and formal training investment before teams reach productive velocity.
  • Annual contract requirements and limited pro-ration on exit create significant switching cost friction, especially for organizations evaluating alternatives mid-cycle.
  • Add-on licensing (CPQ, Einstein Activity Capture, Shield, Data Cloud) can double effective per-seat cost without clear documentation of which features are included in base tiers.

Complexity grading

How hard is this migration?

Standard Helpdesk migration. 1 of 7 objects need a manual workaround.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Autotask Professional Services Automation (PSA) and Salesforce Service Cloud.

  • Object compatibility

    B

    1 of 7 objects need a manual workaround.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    7-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Autotask Professional Services Automation (PSA): 10,000 calls per hour per organization; per-object thread limits (often 1–2 threads per integration per object) with latency thresholds.

  • Data volume sensitivity

    B

    Autotask Professional Services Automation (PSA) doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Autotask Professional Services Automation (PSA) to Salesforce Service Cloud migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Autotask Professional Services Automation (PSA) to Salesforce Service Cloud data migrations

Answers to the questions buyers ask most during Autotask Professional Services Automation (PSA) to Salesforce Service Cloud migration scoping. Not seeing yours? Book a call.

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Most migrations land between three and five weeks for accounts under 10,000 Tickets, 3,000 Companies, and 5,000 Contacts with no custom objects and a clean UDF schema. Migrations with high UDF counts across multiple objects, project data requiring a custom Project__c object, large Time Entry histories (over 50,000 records), or multiple Autotask queues mapping to Salesforce Case Record Types move to seven to twelve weeks because of UDF schema enumeration, pacing against the 10,000/hour Autotask API ceiling, and custom object configuration.

Adjacent paths

Related migrations to explore

Ready when you are

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